When the collective pitch of the helicopter main rotor changes

in order to keep the speed of power turbine constant

and improve the dynamic performance

a novel adaptive nonlinear predictive control (ANMPC) algorithm was studied for turboshaft engine control system.Based on the steady states data and the dynamic properties of turboshaft engine

using recursive least square method to realize parameter identification

a numerical-ARX(auto regressive with external input) parallel prediction model which possessed online adaptive ability

was constructed.Then

by multistep output prediction and feedback correction

employing sequential quadratic programming

a ANMPC controller for turboshaft engine was obtained on the basis of receding horizon optimization.The simulation results show that

with the changing of collective pitch

ANMPC controller can make the power turbine speed converge faster

and make overshoot/droop smaller

compared with the conventional series PID(proportional-integral-derivative) controller.